Siemens has signed an agreement to acquire Atlas 3D. Atlas 3D will join Siemens Digital Industries Software, where its solutions will expand additive manufacturing capabilities in the Xcelerator portfolio of software.
Sunata software uses thermal distortion analysis to provide a simple, automated way to optimize part build orientation and generate support structures. This approach allows the designer—rather than the analyst—to perform these simulations, thereby reducing the downstream analysis that needs to be conducted via Simcenter software to achieve a part that meets design requirements. Siemens plans to make the Atlas 3D solution available through its online Additive Manufacturing Network.
“We welcome Atlas 3D to the Siemens community as the newest member of our additive manufacturing team. Our solutions industrialize additive manufacturing for large enterprises, 3D printing service bureaus, design firms and CAD designers,” said Zvi Feuer, Senior Vice President, Manufacturing Engineering Software of Siemens Digital Industries Software.
“The cloud-based Sunata software makes it easy for designers to determine the optimal way to 3D print parts for high quality and repeatability. The combination of Sunata with the robust CAE additive manufacturing tools in Simcenter enables a ‘right first time’ approach for industrial 3D printing.”
“Siemens is a leader in additive manufacturing, with the most integrated and functionally robust solutions in the industry, so we are excited to join the team,” said Chad Barden, Chief Executive Officer of Atlas 3D. “The power of Sunata is that it equips designers to more easily design parts that are printable, which helps companies more quickly realize the benefits of additive manufacturing. As part of Siemens, we look forward to introducing Sunata to customers who already have Siemens’ AM solutions and can achieve new efficiencies in their front-end design-for-additive process, as well as companies who have yet to start their additive manufacturing journey.”
The high rate of 3D print failures is a key challenge companies face in leveraging additive manufacturing for high-volume production. Parts often need to go through several design and analysis iterations before the optimal build orientation and support structures are determined. Typically, designers don’t have the capabilities to consider such factors as part orientation, distortion, and heat extraction uniformity in their design. This puts the onus on engineering specialists to resolve such issues.
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